Glioblastoma gene network reconstruction and ontology analysis by online bioinformatics tools

Natalya V. Gubanova, Nina G. Orlova, Arthur I. Dergilev, Nina Y. Oparina, Yuriy L. Orlov

Research output: Contribution to journalArticlepeer-review

Abstract

Glioblastoma is the most aggressive type of brain tumors resistant to a number of antitumor drugs. The problem of therapy and drug treatment course is complicated by extremely high heterogeneity in the benign cell populations, the random arrangement of tumor cells, and polymorphism of their nuclei. The pathogenesis of gliomas needs to be studied using modern cellular technologies, genome- and transcriptome-wide technologies of high-throughput sequencing, analysis of gene expression on microarrays, and methods of modern bioinformatics to find new therapy targets. Functional annotation of genes related to the disease could be retrieved based on genetic databases and cross-validated by integrating complementary experimental data. Gene network reconstruction for a set of genes (proteins) proved to be effective approach to study mechanisms underlying disease progression. We used online bioinformatics tools for annotation of gene list for glioma, reconstruction of gene network and comparative analysis of gene ontology categories. The available tools and the databases for glioblastoma gene analysis are discussed together with the recent progress in this field.

Original languageEnglish
JournalJournal of integrative bioinformatics
Volume18
Issue number4
DOIs
Publication statusPublished - 16 Nov 2021

Keywords

  • drug search
  • gene networks
  • gene ontology
  • glioblastoma
  • medical genomics
  • Humans
  • Computational Biology
  • Gene Expression Regulation, Neoplastic
  • Gene Expression Profiling
  • Brain Neoplasms/genetics
  • Gene Regulatory Networks
  • Glioblastoma/genetics
  • Glioma/genetics
  • Gene Ontology

OECD FOS+WOS

  • 1.06.MC MATHEMATICAL & COMPUTATIONAL BIOLOGY

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